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<meta property="og:description" content="之前有很多朋友提过，mall 项目中的权限管理功能有性能问题，因为每次访问接口进行权限校验时都会从数据库中去查询用户信息。最近对这个问题进行了优化，通过 Redis+AOP 解决了该问题，下面来讲下我的优化思路。  #👍 相关视频教程使用Redis+AOP优化权限管理功能open in new window #前置知识学习本文需要一些Spring Data Redis的知识，不了解的朋友可以看">
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href="javascript:void(0);"><i class="fa-fw fas fa-tools"></i><span> 工具</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/md_editor/"><i class="fa-fw fas fa-pen"></i><span> MDEditor_my</span></a></li></ul></div></div><div id="toggle-menu"><a class="site-page" href="javascript:void(0);"><i class="fas fa-bars fa-fw"></i></a></div></div></nav></header><main class="layout" id="content-inner"><div id="post"><div id="post-info"><h1 class="post-title">使用Redis+AOP优化权限管理功能，这波操作贼爽！</h1><div id="post-meta"><div class="meta-firstline"><span class="post-meta-date"><i class="far fa-calendar-alt fa-fw post-meta-icon"></i><span class="post-meta-label">发表于</span><time class="post-meta-date-created" datetime="2024-01-21T09:27:41.000Z" title="发表于 2024-01-21 17:27:41">2024-01-21</time><span class="post-meta-separator">|</span><i class="fas fa-history fa-fw post-meta-icon"></i><span class="post-meta-label">更新于</span><time class="post-meta-date-updated" datetime="2024-01-21T09:27:42.017Z" title="更新于 2024-01-21 17:27:42">2024-01-21</time></span><span class="post-meta-categories"><span class="post-meta-separator">|</span><i class="fas fa-inbox fa-fw post-meta-icon"></i><a class="post-meta-categories" href="/categories/%E6%8A%80%E6%9C%AF%E6%95%99%E7%A8%8B/">技术教程</a><i class="fas fa-angle-right post-meta-separator"></i><i class="fas fa-inbox fa-fw post-meta-icon"></i><a class="post-meta-categories" href="/categories/%E6%8A%80%E6%9C%AF%E6%95%99%E7%A8%8B/mall/">mall</a><i class="fas fa-angle-right post-meta-separator"></i><i class="fas fa-inbox fa-fw post-meta-icon"></i><a class="post-meta-categories" href="/categories/%E6%8A%80%E6%9C%AF%E6%95%99%E7%A8%8B/mall/%E6%8A%80%E6%9C%AF%E8%A6%81%E7%82%B9%E7%AF%87/">技术要点篇</a></span></div><div class="meta-secondline"><span class="post-meta-separator">|</span><span class="post-meta-wordcount"><i class="far fa-file-word fa-fw post-meta-icon"></i><span class="post-meta-label">字数总计:</span><span class="word-count">2.5k</span><span class="post-meta-separator">|</span><i class="far fa-clock fa-fw post-meta-icon"></i><span class="post-meta-label">阅读时长:</span><span>10分钟</span></span><span class="post-meta-separator">|</span><span class="post-meta-pv-cv" id="" data-flag-title="使用Redis+AOP优化权限管理功能，这波操作贼爽！"><i class="far fa-eye fa-fw post-meta-icon"></i><span class="post-meta-label">阅读量:</span><span id="busuanzi_value_page_pv"><i class="fa-solid fa-spinner fa-spin"></i></span></span></div></div></div><article class="post-content" id="article-container"><blockquote>
<p>之前有很多朋友提过，mall 项目中的权限管理功能有性能问题，因为每次访问接口进行权限校验时都会从数据库中去查询用户信息。最近对这个问题进行了优化，通过 Redis+AOP 解决了该问题，下面来讲下我的优化思路。</p>
</blockquote>
<h2 id="👍-相关视频教程"><a href="#👍-相关视频教程" class="headerlink" title="#👍 相关视频教程"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%F0%9F%91%8D-%E7%9B%B8%E5%85%B3%E8%A7%86%E9%A2%91%E6%95%99%E7%A8%8B">#</a>👍 相关视频教程</h2><p><a target="_blank" rel="noopener" href="https://t.zsxq.com/0eeYimGJK">使用Redis+AOP优化权限管理功能open in new window</a></p>
<h2 id="前置知识"><a href="#前置知识" class="headerlink" title="#前置知识"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%E5%89%8D%E7%BD%AE%E7%9F%A5%E8%AF%86">#</a>前置知识</h2><p>学习本文需要一些Spring Data Redis的知识，不了解的朋友可以看下<a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/reference/spring_data_redis.html">《Spring Data Redis 最佳实践！》</a>。 还需要一些Spring AOP的知识，不了解的朋友可以看下<a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/aop_log.html">《SpringBoot应用中使用AOP记录接口访问日志》</a>。</p>
<h2 id="问题重现"><a href="#问题重现" class="headerlink" title="#问题重现"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%E9%97%AE%E9%A2%98%E9%87%8D%E7%8E%B0">#</a>问题重现</h2><p>在<code>mall-security</code>模块中有一个过滤器，当用户登录后，请求会带着token经过这个过滤器。这个过滤器会根据用户携带的token进行类似免密登录的操作，其中有一步会从数据库中查询登录用户信息，下面是这个过滤器类的代码。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * JWT登录授权过滤器</span><br><span class="line"> * Created by macro on 2018/4/26.</span><br><span class="line"> */</span><br><span class="line">public class JwtAuthenticationTokenFilter extends OncePerRequestFilter &#123;</span><br><span class="line">    private static final Logger LOGGER = LoggerFactory.getLogger(JwtAuthenticationTokenFilter.class);</span><br><span class="line">    @Autowired</span><br><span class="line">    private UserDetailsService userDetailsService;</span><br><span class="line">    @Autowired</span><br><span class="line">    private JwtTokenUtil jwtTokenUtil;</span><br><span class="line">    @Value(&quot;$&#123;jwt.tokenHeader&#125;&quot;)</span><br><span class="line">    private String tokenHeader;</span><br><span class="line">    @Value(&quot;$&#123;jwt.tokenHead&#125;&quot;)</span><br><span class="line">    private String tokenHead;</span><br><span class="line"></span><br><span class="line">    @Override</span><br><span class="line">    protected void doFilterInternal(HttpServletRequest request,</span><br><span class="line">                                    HttpServletResponse response,</span><br><span class="line">                                    FilterChain chain) throws ServletException, IOException &#123;</span><br><span class="line">        String authHeader = request.getHeader(this.tokenHeader);</span><br><span class="line">        if (authHeader != null &amp;&amp; authHeader.startsWith(this.tokenHead)) &#123;</span><br><span class="line">            String authToken = authHeader.substring(this.tokenHead.length());// The part after &quot;Bearer &quot;</span><br><span class="line">            String username = jwtTokenUtil.getUserNameFromToken(authToken);</span><br><span class="line">            LOGGER.info(&quot;checking username:&#123;&#125;&quot;, username);</span><br><span class="line">            if (username != null &amp;&amp; SecurityContextHolder.getContext().getAuthentication() == null) &#123;</span><br><span class="line">                //此处会从数据库中获取登录用户信息</span><br><span class="line">                UserDetails userDetails = this.userDetailsService.loadUserByUsername(username);</span><br><span class="line">                if (jwtTokenUtil.validateToken(authToken, userDetails)) &#123;</span><br><span class="line">                    UsernamePasswordAuthenticationToken authentication = new UsernamePasswordAuthenticationToken(userDetails, null, userDetails.getAuthorities());</span><br><span class="line">                    authentication.setDetails(new WebAuthenticationDetailsSource().buildDetails(request));</span><br><span class="line">                    LOGGER.info(&quot;authenticated user:&#123;&#125;&quot;, username);</span><br><span class="line">                    SecurityContextHolder.getContext().setAuthentication(authentication);</span><br><span class="line">                &#125;</span><br><span class="line">            &#125;</span><br><span class="line">        &#125;</span><br><span class="line">        chain.doFilter(request, response);</span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>当我们登录后访问任意接口时，控制台会打印如下日志，表示会从数据库中查询用户信息和用户所拥有的资源信息，每次访问接口都触发这种操作，有的时候会带来一定的性能问题。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><span class="line">2020-03-17 16:13:02.623 DEBUG 4544 --- [nio-8081-exec-2] c.m.m.m.UmsAdminMapper.selectByExample   : ==&gt;  Preparing: select id, username, password, icon, email, nick_name, note, create_time, login_time, status from ums_admin WHERE ( username = ? ) </span><br><span class="line">2020-03-17 16:13:02.624 DEBUG 4544 --- [nio-8081-exec-2] c.m.m.m.UmsAdminMapper.selectByExample   : ==&gt; Parameters: admin(String)</span><br><span class="line">2020-03-17 16:13:02.625 DEBUG 4544 --- [nio-8081-exec-2] c.m.m.m.UmsAdminMapper.selectByExample   : &lt;==      Total: 1</span><br><span class="line">2020-03-17 16:13:02.628 DEBUG 4544 --- [nio-8081-exec-2] c.macro.mall.dao.UmsRoleDao.getMenuList  : ==&gt;  Preparing: SELECT m.id id, m.parent_id parentId, m.create_time createTime, m.title title, m.level level, m.sort sort, m.name name, m.icon icon, m.hidden hidden FROM ums_admin_role_relation arr LEFT JOIN ums_role r ON arr.role_id = r.id LEFT JOIN ums_role_menu_relation rmr ON r.id = rmr.role_id LEFT JOIN ums_menu m ON rmr.menu_id = m.id WHERE arr.admin_id = ? AND m.id IS NOT NULL GROUP BY m.id </span><br><span class="line">2020-03-17 16:13:02.628 DEBUG 4544 --- [nio-8081-exec-2] c.macro.mall.dao.UmsRoleDao.getMenuList  : ==&gt; Parameters: 3(Long)</span><br><span class="line">2020-03-17 16:13:02.632 DEBUG 4544 --- [nio-8081-exec-2] c.macro.mall.dao.UmsRoleDao.getMenuList  : &lt;==      Total: 24</span><br></pre></td></tr></table></figure>

<h2 id="使用Redis作为缓存"><a href="#使用Redis作为缓存" class="headerlink" title="#使用Redis作为缓存"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%E4%BD%BF%E7%94%A8redis%E4%BD%9C%E4%B8%BA%E7%BC%93%E5%AD%98">#</a>使用Redis作为缓存</h2><blockquote>
<p>对于上面的问题，最容易想到的就是把用户信息和用户资源信息存入到Redis中去，避免频繁查询数据库，本文的优化思路大体也是这样的。</p>
</blockquote>
<p>首先我们需要对Spring Security中获取用户信息的方法添加缓存，我们先来看下这个方法执行了哪些数据库查询操作。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * UmsAdminService实现类</span><br><span class="line"> * Created by macro on 2018/4/26.</span><br><span class="line"> */</span><br><span class="line">@Service</span><br><span class="line">public class UmsAdminServiceImpl implements UmsAdminService &#123;</span><br><span class="line">    @Override</span><br><span class="line">    public UserDetails loadUserByUsername(String username)&#123;</span><br><span class="line">        //获取用户信息</span><br><span class="line">        UmsAdmin admin = getAdminByUsername(username);</span><br><span class="line">        if (admin != null) &#123;</span><br><span class="line">            //获取用户的资源信息</span><br><span class="line">            List&lt;UmsResource&gt; resourceList = getResourceList(admin.getId());</span><br><span class="line">            return new AdminUserDetails(admin,resourceList);</span><br><span class="line">        &#125;</span><br><span class="line">        throw new UsernameNotFoundException(&quot;用户名或密码错误&quot;);</span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>主要是获取用户信息和获取用户的资源信息这两个操作，接下来我们需要给这两个操作添加缓存操作，这里使用的是RedisTemple的操作方式。当查询数据时，先去Redis缓存中查询，如果Redis中没有，再从数据库查询，查询到以后在把数据存储到Redis中去。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * UmsAdminService实现类</span><br><span class="line"> * Created by macro on 2018/4/26.</span><br><span class="line"> */</span><br><span class="line">@Service</span><br><span class="line">public class UmsAdminServiceImpl implements UmsAdminService &#123;</span><br><span class="line">    //专门用来操作Redis缓存的业务类</span><br><span class="line">    @Autowired</span><br><span class="line">    private UmsAdminCacheService adminCacheService;</span><br><span class="line">    @Override</span><br><span class="line">    public UmsAdmin getAdminByUsername(String username) &#123;</span><br><span class="line">        //先从缓存中获取数据</span><br><span class="line">        UmsAdmin admin = adminCacheService.getAdmin(username);</span><br><span class="line">        if(admin!=null) return  admin;</span><br><span class="line">        //缓存中没有从数据库中获取</span><br><span class="line">        UmsAdminExample example = new UmsAdminExample();</span><br><span class="line">        example.createCriteria().andUsernameEqualTo(username);</span><br><span class="line">        List&lt;UmsAdmin&gt; adminList = adminMapper.selectByExample(example);</span><br><span class="line">        if (adminList != null &amp;&amp; adminList.size() &gt; 0) &#123;</span><br><span class="line">            admin = adminList.get(0);</span><br><span class="line">            //将数据库中的数据存入缓存中</span><br><span class="line">            adminCacheService.setAdmin(admin);</span><br><span class="line">            return admin;</span><br><span class="line">        &#125;</span><br><span class="line">        return null;</span><br><span class="line">    &#125;</span><br><span class="line">    @Override</span><br><span class="line">    public List&lt;UmsResource&gt; getResourceList(Long adminId) &#123;</span><br><span class="line">        //先从缓存中获取数据</span><br><span class="line">        List&lt;UmsResource&gt; resourceList = adminCacheService.getResourceList(adminId);</span><br><span class="line">        if(CollUtil.isNotEmpty(resourceList))&#123;</span><br><span class="line">            return  resourceList;</span><br><span class="line">        &#125;</span><br><span class="line">        //缓存中没有从数据库中获取</span><br><span class="line">        resourceList = adminRoleRelationDao.getResourceList(adminId);</span><br><span class="line">        if(CollUtil.isNotEmpty(resourceList))&#123;</span><br><span class="line">            //将数据库中的数据存入缓存中</span><br><span class="line">            adminCacheService.setResourceList(adminId,resourceList);</span><br><span class="line">        &#125;</span><br><span class="line">        return resourceList;</span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>上面这种查询操作其实用Spring Cache来操作更简单，直接使用@Cacheable即可实现，为什么还要使用RedisTemplate来直接操作呢？因为作为缓存，我们所希望的是，如果Redis宕机了，我们的业务逻辑不会有影响，而使用Spring Cache来实现的话，当Redis宕机以后，用户的登录等种种操作就会都无法进行了。</p>
<p>由于我们把用户信息和用户资源信息都缓存到了Redis中，所以当我们修改用户信息和资源信息时都需要删除缓存中的数据，具体什么时候删除，查看缓存业务类的注释即可。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * 后台用户缓存操作类</span><br><span class="line"> * Created by macro on 2020/3/13.</span><br><span class="line"> */</span><br><span class="line">public interface UmsAdminCacheService &#123;</span><br><span class="line">    /**</span><br><span class="line">     * 删除后台用户缓存</span><br><span class="line">     */</span><br><span class="line">    void delAdmin(Long adminId);</span><br><span class="line"></span><br><span class="line">    /**</span><br><span class="line">     * 删除后台用户资源列表缓存</span><br><span class="line">     */</span><br><span class="line">    void delResourceList(Long adminId);</span><br><span class="line"></span><br><span class="line">    /**</span><br><span class="line">     * 当角色相关资源信息改变时删除相关后台用户缓存</span><br><span class="line">     */</span><br><span class="line">    void delResourceListByRole(Long roleId);</span><br><span class="line"></span><br><span class="line">    /**</span><br><span class="line">     * 当角色相关资源信息改变时删除相关后台用户缓存</span><br><span class="line">     */</span><br><span class="line">    void delResourceListByRoleIds(List&lt;Long&gt; roleIds);</span><br><span class="line"></span><br><span class="line">    /**</span><br><span class="line">     * 当资源信息改变时，删除资源项目后台用户缓存</span><br><span class="line">     */</span><br><span class="line">    void delResourceListByResource(Long resourceId);</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>经过上面的一系列优化之后，性能问题解决了。但是引入新的技术之后，新的问题也会产生，比如说当Redis宕机以后，我们直接就无法登录了，下面我们使用AOP来解决这个问题。</p>
<h2 id="使用AOP处理缓存操作异常"><a href="#使用AOP处理缓存操作异常" class="headerlink" title="#使用AOP处理缓存操作异常"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%E4%BD%BF%E7%94%A8aop%E5%A4%84%E7%90%86%E7%BC%93%E5%AD%98%E6%93%8D%E4%BD%9C%E5%BC%82%E5%B8%B8">#</a>使用AOP处理缓存操作异常</h2><blockquote>
<p>为什么要用AOP来解决这个问题呢？因为我们的缓存业务类<code>UmsAdminCacheService</code>已经写好了，要保证缓存业务类中的方法执行不影响正常的业务逻辑，就需要在所有方法中添加<code>try catch</code>逻辑。使用AOP，我们可以在一个地方写上<code>try catch</code>逻辑，然后应用到所有方法上去。试想下，我们如果又多了几个缓存业务类，只要配置下切面即可，这波操作多方便！</p>
</blockquote>
<p>首先我们先定义一个切面，在相关缓存业务类上面应用，在它的环绕通知中直接处理掉异常，保障后续操作能执行。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * Redis缓存切面，防止Redis宕机影响正常业务逻辑</span><br><span class="line"> * Created by macro on 2020/3/17.</span><br><span class="line"> */</span><br><span class="line">@Aspect</span><br><span class="line">@Component</span><br><span class="line">@Order(2)</span><br><span class="line">public class RedisCacheAspect &#123;</span><br><span class="line">    private static Logger LOGGER = LoggerFactory.getLogger(RedisCacheAspect.class);</span><br><span class="line"></span><br><span class="line">    @Pointcut(&quot;execution(public * com.macro.mall.portal.service.*CacheService.*(..)) || execution(public * com.macro.mall.service.*CacheService.*(..))&quot;)</span><br><span class="line">    public void cacheAspect() &#123;</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">    @Around(&quot;cacheAspect()&quot;)</span><br><span class="line">    public Object doAround(ProceedingJoinPoint joinPoint) throws Throwable &#123;</span><br><span class="line">        Object result = null;</span><br><span class="line">        try &#123;</span><br><span class="line">            result = joinPoint.proceed();</span><br><span class="line">        &#125; catch (Throwable throwable) &#123;</span><br><span class="line">            LOGGER.error(throwable.getMessage());</span><br><span class="line">        &#125;</span><br><span class="line">        return result;</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>这样处理之后，就算我们的Redis宕机了，我们的业务逻辑也能正常执行。</p>
<p>不过并不是所有的方法都需要处理异常的，比如我们的验证码存储，如果我们的Redis宕机了，我们的验证码存储接口需要的是报错，而不是返回执行成功。</p>
<p>对于上面这种需求我们可以通过自定义注解来完成，首先我们自定义一个<code>CacheException</code>注解，如果方法上面有这个注解，发生异常则直接抛出。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * 自定义注解，有该注解的缓存方法会抛出异常</span><br><span class="line"> */</span><br><span class="line">@Documented</span><br><span class="line">@Target(ElementType.METHOD)</span><br><span class="line">@Retention(RetentionPolicy.RUNTIME)</span><br><span class="line">public @interface CacheException &#123;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>之后需要改造下我们的切面类，对于有<code>@CacheException</code>注解的方法，如果发生异常直接抛出。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * Redis缓存切面，防止Redis宕机影响正常业务逻辑</span><br><span class="line"> * Created by macro on 2020/3/17.</span><br><span class="line"> */</span><br><span class="line">@Aspect</span><br><span class="line">@Component</span><br><span class="line">@Order(2)</span><br><span class="line">public class RedisCacheAspect &#123;</span><br><span class="line">    private static Logger LOGGER = LoggerFactory.getLogger(RedisCacheAspect.class);</span><br><span class="line"></span><br><span class="line">    @Pointcut(&quot;execution(public * com.macro.mall.portal.service.*CacheService.*(..)) || execution(public * com.macro.mall.service.*CacheService.*(..))&quot;)</span><br><span class="line">    public void cacheAspect() &#123;</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">    @Around(&quot;cacheAspect()&quot;)</span><br><span class="line">    public Object doAround(ProceedingJoinPoint joinPoint) throws Throwable &#123;</span><br><span class="line">        Signature signature = joinPoint.getSignature();</span><br><span class="line">        MethodSignature methodSignature = (MethodSignature) signature;</span><br><span class="line">        Method method = methodSignature.getMethod();</span><br><span class="line">        Object result = null;</span><br><span class="line">        try &#123;</span><br><span class="line">            result = joinPoint.proceed();</span><br><span class="line">        &#125; catch (Throwable throwable) &#123;</span><br><span class="line">            //有CacheException注解的方法需要抛出异常</span><br><span class="line">            if (method.isAnnotationPresent(CacheException.class)) &#123;</span><br><span class="line">                throw throwable;</span><br><span class="line">            &#125; else &#123;</span><br><span class="line">                LOGGER.error(throwable.getMessage());</span><br><span class="line">            &#125;</span><br><span class="line">        &#125;</span><br><span class="line">        return result;</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>接下来我们需要把<code>@CacheException</code>注解应用到存储和获取验证码的方法上去，这里需要注意的是要应用在实现类上而不是接口上，因为<code>isAnnotationPresent</code>方法只能获取到当前方法上的注解，而不能获取到它实现接口方法上的注解。</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br></pre></td><td class="code"><pre><span class="line">/**</span><br><span class="line"> * UmsMemberCacheService实现类</span><br><span class="line"> * Created by macro on 2020/3/14.</span><br><span class="line"> */</span><br><span class="line">@Service</span><br><span class="line">public class UmsMemberCacheServiceImpl implements UmsMemberCacheService &#123;</span><br><span class="line">    @Autowired</span><br><span class="line">    private RedisService redisService;</span><br><span class="line">    </span><br><span class="line">    @CacheException</span><br><span class="line">    @Override</span><br><span class="line">    public void setAuthCode(String telephone, String authCode) &#123;</span><br><span class="line">        String key = REDIS_DATABASE + &quot;:&quot; + REDIS_KEY_AUTH_CODE + &quot;:&quot; + telephone;</span><br><span class="line">        redisService.set(key,authCode,REDIS_EXPIRE_AUTH_CODE);</span><br><span class="line">    &#125;</span><br><span class="line"></span><br><span class="line">    @CacheException</span><br><span class="line">    @Override</span><br><span class="line">    public String getAuthCode(String telephone) &#123;</span><br><span class="line">        String key = REDIS_DATABASE + &quot;:&quot; + REDIS_KEY_AUTH_CODE + &quot;:&quot; + telephone;</span><br><span class="line">        return (String) redisService.get(key);</span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<h2 id="总结"><a href="#总结" class="headerlink" title="#总结"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%E6%80%BB%E7%BB%93">#</a>总结</h2><p>对于影响性能的，频繁查询数据库的操作，我们可以通过Redis作为缓存来优化。缓存操作不该影响正常业务逻辑，我们可以使用AOP来统一处理缓存操作中的异常。</p>
<h2 id="项目源码地址"><a href="#项目源码地址" class="headerlink" title="#项目源码地址"></a><a target="_blank" rel="noopener" href="https://www.macrozheng.com/mall/technology/redis_permission.html#%E9%A1%B9%E7%9B%AE%E6%BA%90%E7%A0%81%E5%9C%B0%E5%9D%80">#</a>项目源码地址</h2><p><a target="_blank" rel="noopener" href="https://github.com/macrozheng/mall">https://github.com/macrozheng/mall</a></p>
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